One of the big obstacles in health care industry is the difficulty of handling products, Service and Healthcare Application Data. Unreliable and inefficient Data Management may lead to unsafe patient handling methods resulting in increased costs for Manufacturers, Distributors and Healthcare Providers.
SoftNis’s Healthcare Data Management (HDM) Solution helps Healthcare Products Distributors to overcome the challenges they face regarding Data and Storage Management - particularly around the information explosion and the impact, this data growth is having on Healthcare IT departments in terms of their Operations, Efficiency, Effectiveness and Cost.
Data Enrichment is a Process of Enhancing the Data from the External Resources, like Web, Catalogs or other Documents. Data Enrichment includes Product Identification, Specification Capture, Application, Features and Benefits of Information Listing, Downloading MSDS (Material Safety Data Sheet) / Technical Data Sheets / Installation Sheets, if any. Description Generation, Image Capture / Format / Resize, and Classification. READMORE…>>
Data Cleansing is the Process of Rearranging Data to a Suitable Form as per Customer Specifications after Analyzing the given Input Product Description. For example, in Supply Chain Management many a times suppliers cannot use the data in the manufacturer's website directly. The product data has to be cleansed to suit individual customer requirements. READMORE…>>
Data Classification is the Categorization of Data for its most effective and efficient use. We are specialized in UNSPSC Classification and have handled data in more than 5 languages, mainly English, Spanish, German, French, and Italian. READMORE…>>
We have extensively worked on Epicor Prophet 21 ERP System, on aspects like Cleansing/Customization of the manufacturer’s input data to Distributor’s Specific P21 Upload Format, like, Product Identification, Rearranging the Attribute Suitably, Application and Notes Capture. READMORE…>>
This is process of finding the same item in the competitor website and capturing the price for reference.
Duplicates are identified and removed by adopting various permutations of pattern matching rules, database queries and manual inspection.